Evidence map›Paper›PMID 38218985›Full record

ArticleArthritis research & therapy2024

Impaired immune tolerance mediated by reduced Tfr cells in rheumatoid arthritis linked to gut microbiota dysbiosis and altered metabolites.

Ruihe Wu, Dongming Wang, Liyun Cheng, Rui Su, Baochen Li, Chunxue Fan, Chong Gao, Caihong Wang

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Ruihe WuDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Dongming WangDepartment of Orthopedics, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Liyun ChengDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Rui SuDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Baochen LiDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chunxue FanDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chong GaoDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Caihong WangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China. snwch@sina.com.ORCID 0000-0003-0817-7946
Shanxi Medical University · CNBrigham and Women's Hospital · US

Funding

Four "Batches" Innovation Project of Invigorating Medical through Science and Technology of Shanxi Province No. 2022XM05National Natural Science Foundation of China No. 81971543The Central Guidance Special Funds for Local Science and Technology Development YDZJSX20231A061
6 · The paper itself

Abstract

backgroundPatients with rheumatoid arthritis (RA) showed impaired immune tolerance characterized by reduced follicular regulatory T (Tfr) cells, and they also exhibited altered gut microbiotas and their metabolites in RA. However, the association of gut microbiotas and their metabolites with the immune tolerance mediated by Tfr cells in RA remains unclear.

methodsPeripheral blood and stool samples were collected from 32 new-onset RA patients and 17 healthy controls (HCs) in the Second Hospital of Shanxi Medical University between January 2022 and June 2022. The peripheral blood was used to detect the circulating regulatory T (Treg), helper T(Th)17, Tfr, and follicular helper T (Tfh) cells by modified flow cytometry. The stool samples were used to analyze the gut microbiotas and their metabolites via 16S rDNA sequencing and metabolomic profiling. We aimed to characterize the gut microbiotas and their metabolites in RA and identified their association with Tfr cell-mediated immune tolerance.

resultsThe new-onset RA demonstrated reduced Treg and Tfr cells, associated with the disease activity and autoantibodies. There were significant differences in gut microbiotas between the two groups as the results of β diversity analysis (P = 0.039) including 21 differential gut microbiotas from the phylum to genus levels. In which, Ruminococcus 2 was associated with the disease activity and autoantibodies of RA, and it was identified as the potential biomarker of RA [area under curve (AUC) = 0.782, 95% confidence interval (CI) = 0.636-0.929, P = 0.001]. Eleven differential metabolites were identified and participated in four main pathways related to RA. Arachidonic acid might be the potential biomarker of RA (AUC = 0.724, 95% CI = 0.595-0.909, P = 0.038), and it was the core metabolite as the positive association with six gut microbiotas enriched in RA. The reduced Tfr cells were associated with the altered gut microbiotas and their metabolites including the Ruminococcus 2, the arachidonic acid involved in the biosynthesis of unsaturated fatty acid pathway and the 3-methyldioxyindole involved in the tryptophan metabolism pathway.

conclusionThe breakdown of immune tolerance mediated by reduced Tfr cells was associated with the altered gut microbiotas and their metabolites implying the possible mechanism of RA pathogenesis from the perspective of microecology-metabolism-immune.

Indexed as

Arthritis, RheumatoidGastrointestinal MicrobiomeArachidonic AcidAutoantibodiesBiomarkersDysbiosisHumansImmune ToleranceT-Lymphocytes, Helper-InducerT-Lymphocytes, RegulatoryArachidonic AcidAutoantibodiesBiomarkersFollicular regulatory T cellsGut-joint axisGut microbiotaImmune toleranceMetabolitesRheumatoid arthritis

Identifiers

PMID38218985
PMCPMC10787489
OpenAlexW4390839246

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.